Analysing random networks
Network analysis is a key technique in modern science. The availability of massive amounts of data and the interaction between individuals of large populations has brought network analysis to the forefront of current scientific challenges. In this context, the EU-funded RandNET project will bring together leading researchers worldwide from the areas of combinatorics, probability theory, computer science and statistics with the aim of blending approaches from these areas in the mathematical foundations for analysing random networks. As a first goal, RandNET will work to enable real applications in data science and learning on large networks. Secondly, it will establish a wide platform of knowledge dissemination on the topic of randomness and learning in networks.
Fields of science
Call for proposal
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Funding SchemeMSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)
22460-320 Rio De Janeiro